A Bandwidth-Broker Based Inter-domain SLA Negotiation

This work presents an Inter-Domain Bandwidth Broker (BB) based Service Level Agreements (SLAs) Negotiation Model for Di#erentiated Services (Di#Serv) networks. A BB in each Di#Serv domain handles SLAs on behalf of its domain by communicating with its neighboring peers. The proposed model uses a destination-based SLAs aggregation to increase signaling and state scalability, and it uses a BB-based interdomain routing to increase resource utilization. The experimental results are provided to verify the achievements

Inter-Domain QoS Routing on Diffserv Networks: A Region-Based Approach

Quality of Service (QoS) routing is inherently a difficult problem. Inter-domain QoS routing is even harder, because it involves entities residing in distinct administrative domains. There are two problems that need to be solved in inter-domain QoS routing: topology distribution in a scalable fashion and finding paths that satisfy QoS constraints and provide connectivity. In this paper we present region-based, link-state, source-specified, inter-domain QoS routing architecture that addresses these questions. Our architecture is scalable and does not suffer from the problems caused by hierarchical routing. Analysis results show that the average region size and the average shortest path length (SPL) are inversely proportional and scalability of the approach increases as the region size decreases. Gain from the scalability is far more than the loss from the average SPL, especially with larger topologies

A scalable and efficient interdomain QoS routing architecture for DiffServ networks

is seen as a key technology for achieving QoS guarantees in a scalable, efficient, and deployable manner in the Internet. In this paper we present a Route Server (RS) architecture that is compatible with the BB model for inter-domain QoS routing. The RS is responsible for determining QoS routes on behalf of all the routers and for exchanging routing information with its neighboring peers. It optimizes network resources by taking the intra-domain resource utilization state into account for selecting a route. It also achieves scalability by pre-computing a limited number of paths for each destination region and mapping all the packets to one of these paths regardless of their sources. Key words: Bandwidth Broker (BB), Inter-domain QoS Routing, Route Server. 1

A Scalable Model for Interbandwidth Broker Resource Reservation and Provisioning

As the Internet evolves into global communication and commercial infrastructure, the need for quality-of-services (QoSs) in the Internet becomes more and more important. With a bandwidth broker (BB) support in each administrative domain, differentiated services (Diffserv) is seen as a key technology for achieving QoS guarantees in a scalable, efficient, and deployable manner in the Internet

A scalable intra-domain resource management architecture for DiffServ networks

With the rapid growth of the Internet into a global communication and commercial infrastructure, the need for Quality of Services (QoS) in the Internet becomes more and more important. With a Bandwidth Broker (BB) support in each administrative domain Differentiated Services (DiffServ) is seen as a key technology for achieving QoS guarantees in a scalable, efficient, and deployable manner in the Internet

Inter-Domain QoS Routing on Diffserv Networks: A Region Based Approach

Quality of Service (QoS) routing is inherently a difficult problem. Inter-domain QoS routing is even harder, because it involves entities residing in distinct administrative domains. There are two problems that need to be solved in inter-domain QoS routing: topology distribution in a scalable fashion and finding paths that satisfy QoS constraints and provide connectivity. In this paper we present region-based, link-state, source-specified, inter-domain QoS routing architecture that addresses these questions. Our architecture is scalable and does not suffer from the problems caused by hierarchical routing. Analysis results show that the average region size and the average shortest path length (SPL) are inversely proportional and scalability of the approach increases as the region size decreases. Gain from the scalability is far more than the loss from the average SPL, especially with larger topologies